| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black Scorch |
| '1': Fusarium Wilt |
| '2': Healthy sample |
| '3': Leaf Spots |
| '4': Magnesium Deficiency |
| '5': Manganese Deficiency |
| '6': Parlatoria Blanchardi |
| '7': Potassium Deficiency |
| '8': Rachis Blight |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Date Palm Leaf Disease Classification |
|
|
| A dataset for image classification of Date Palm Leaf Disease Classification. The dataset contains 3,089 images across 9 classes: Black Scorch, Fusarium Wilt, Healthy sample, Leaf Spots, Magnesium Deficiency, Manganese Deficiency, Parlatoria Blanchardi, Potassium Deficiency, Rachis Blight. |
| Images per class: |
| - Black Scorch: 106 |
| - Fusarium Wilt: 210 |
| - Healthy sample: 389 |
| - Leaf Spots: 69 |
| - Magnesium Deficiency: 566 |
| - Manganese Deficiency: 415 |
| - Parlatoria Blanchardi: 101 |
| - Potassium Deficiency: 831 |
| - Rachis Blight: 402 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{namoun2024dataset, |
| title={Dataset of infected date palm leaves for palm tree disease detection and classification}, |
| author={Namoun, Abdallah and Alkhodre, Ahmad B and Abi Sen, Adnan Ahmad and Alsaawy, Yazed and Almoamari, Hani}, |
| journal={Data in brief}, |
| volume={57}, |
| pages={110933}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Namoun, Abdallah; Alkhodre, Ahmad B.; Abi Sen, Adnan Ahmad ; Alsaawy, Yazed; Almoamari, Hani (2024), “Diseases of date palm leaves dataset”, Mendeley Data, V2, doi: 10.17632/g684ghfxvg.2 |
